%A 1414071002 Agung Iman Santoso
%T IDENTIFIKASI MUTU TEH (Camellia Sinensis L.) ORTHODOKS
PRODUK PTPN VIII RANCABALI BANDUNG MENGGUNAKAN UV - VIS
SPECTROSCOPY DAN KEMOMETRIKA
%X Processing black tea through a fermentation process, while green tea is processed 
without going through the fermentation process Testing the accuracy of tea 
quality at PTPN VIII Rancabali, Bandung is called green dhool testing and using a 
quality control officer. Green dhool testing aims to provide an evaluation of tea 
powder from enzymatic oxidation to determine the optimal duration of enzymatic 
oxidation. Organoleptic tests have high relevance to product quality because they 
relate directly to consumer tastes. So this research was conducted to find out and 
identify the quality of tea (Camellia Sinensis L.) Orthodox Products PTPN VIII 
Rancabali Bandung using UV-VIS spectroscopy and chemometrics. Tea samples 
were extracted using distilled water, then the results of extraction were entered 
into system holders and absorbance values were taken using UV - Vis 
spectroscopy at a wavelength of 190 - 1100 nm. The classification results show 
that the PCA and SIMCA methods are able to identify accurately the quality of
PTPN VIII Rancabali orthodox black tea with UV - Vis spectroscopy. In the 
development of SIMCA models of the combination of the standard normal variate 
(SNV) and the moving average of 9 segments, it resulted PC1 value is 84%, and 
PC2 is 7%. While for the results of the confusion matrix on the SNV combination 
data and moving average 9 segments at wavelength 190 - 1100 nm in the BP I + 
PF II group showed an accuracy value (AC) of 100%, sensitivity (S) 100% and 
specificity (SP) of 100%. In the BP I + BM group shows the value of accuracy 
(AC) of 100%, sensitivity (S) 100% and specificity (SP) of 100%. In the PF II + 
BM group the value of accuracy (AC) was 92%, sensitivity (S) 89% and 
specificity (SP) of 94%.
Keywords : black tea, green dhool testing, UV - VIS spectroscopy, principal 
component analysis (PCA), soft independent modeling of class analogy 
(SIMCA).
Teh hitam merupakan teh yang dalam proses pengolahannya melalui poses 
fermentasi sedangkan teh hijau diolah tanpa melalui proses fermentasi. Pengujian 
ketepatan mutu teh di PTPN VIII Rancabali Bandung dinamakan green dhool 
testing dengan menggunakan petugas kontrol kualitas. Green dhool testing 
bertujuan untuk memberikan penilaian bubuk teh hasil oksidasi enzimatis untuk 
menentukan lamanya oksidasi enzimatis yang optimal. Uji organoleptik memiliki 
relevansi yang tinggi dengan mutu produk karena berhubungan langsung dengan 
selera konsumen. Maka penelitian ini dilakukan untuk mengetahui dan 
mengidentifikasi mutu teh (Camellia Sinensis L.) Orthodoks Produk PTPN VIII 
Rancabali Bandung menggunakan UV - VIS Spectroscopy dan kemometrika. 
Sampel teh diekstraksi menggunakan aquades. Kemudian dimasukan ke dalam 
holders system dan diambil nilai absorbansinya menggunakan UV - Vis 
Spectroscopy pada panjang gelombang 190 - 1100 nm. Hasil klasifikasi 
menunjukkan bahwa metode PCA dan SIMCA mampu mengidentifikasi secara 
akurat mutu teh hitam Orthodoks PTPN VIII Rancabali dengan UV - Vis
Spectroscopy. Pada pengembangan model SIMCA kombinasi standard normal 
variate (SNV) dan moving average 9 segmen menghasikan nilai PC1 sebesar 
84%, dan PC2 sebesar 7%. Sedangkan untuk hasil matriks konfusi pada data 
kombinasi SNV dan moving average 9 segmen pada panjang gelombang 190 -
1100 nm pada kelompok BP I + PF II menunjukkan nilai akurasi (AC) sebesar 
100%, sensitivitas (S) 100% dan spesifisitas (SP) sebesar 100%. Pada kelompok 
BP I + BM menunjukkan nilai akurasi (AC) sebesar 100%, sensitivitas (S) 100% 
dan spesifisitas (SP) sebesar 100%. Pada kelompok PF II + BM menunjukkan 
nilai akurasi (AC) sebesar 92%, sensitivitas (S) 89% dan spesifisitas (SP) sebesar 
94%.
Kata kunci : green dhool testing, principal component analysis (PCA), soft 
independent modelling of class analogy (SIMCA), teh hitam, UV - VIS 
spectroscop
%C UNIVERSITAS LAMPUNG
%D 2019
%I FAKULTAS PERTANIAN
%L eprints56772